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support

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Description

Threat detection entails a thorough examination of each individual network packet along with its contained data, featuring elements such as network protocol identification and verification, which allows for the identification of both obscure and concealed protocols. It incorporates machine learning techniques that provide a proactive assessment of traffic risk through scoring systems. Additionally, the detection of network steganography helps uncover hidden traffic within the network, including potential data breaches, espionage activities, and botnet communications. Utilizing proprietary algorithms for steganography detection serves as an efficient means of revealing various information concealment strategies. Furthermore, a unique signature database containing an extensive array of recognized network steganography techniques enhances detection capabilities. Forensic analysis is employed to effectively evaluate the ratio of security incidents relative to the traffic source. Facilitating the extraction of high-risk network traffic aids in concentrating analysis on specific threat levels, while storing processed traffic metadata in an extended format accelerates the trend analysis process. This multifaceted approach ensures a comprehensive understanding of network security challenges and enhances the ability to respond to emerging threats.

Description

Darktrace / NETWORK is an advanced AI-driven solution designed for network detection and response, aiming to thwart, identify, scrutinize, and manage both recognized and novel threats in contemporary environments. Utilizing its Self-Learning AI, the system operates directly on an organization’s data, adapting to the typical behavior of each device, user, connection, and attack vector, thereby detecting anomalies without relying on predefined signatures, past attack data, or generalized models. This solution offers comprehensive visibility across various infrastructures, including on-premises, virtual, cloud, and hybrid networks, as well as remote endpoints, operational technology (OT) devices, zero-trust network access (ZTNA), and traffic in both encrypted and decrypted forms. Moreover, it continuously refines its detection capabilities to enhance precision and minimize alert fatigue without the need for manual rule updates. The Cyber AI Analyst conducts thorough investigations at scale, forms theories, derives conclusions, ranks incidents based on potential business repercussions, and links occurrences across network, endpoint, cloud, identity, OT, email, and remote systems, ensuring a robust defense against cyber threats. Thus, organizations can benefit from a proactive security posture that evolves in tandem with emerging challenges.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Darktrace

Integrations

Darktrace

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Cryptomage

Founded

2015

Country

Poland

Website

cryptomage.io/cybereye

Vendor Details

Company Name

Darktrace

Founded

2013

Country

United Kingdom

Website

www.darktrace.com/products/network

Product Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Product Features

Cloud Security

Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management

Cloud Workload Protection

Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity

Incident Response

Attack Behavior Analytics
Automated Remediation
Compliance Reporting
Forensic Data Retention
Incident Alerting
Incident Database
Incident Logs
Incident Reporting
Privacy Breach Reporting
SIEM Data Ingestion / Correlation
SLA Tracking / Management
Security Orchestration
Threat Intelligence
Timeline Analysis
Workflow Automation
Workflow Management

Network Monitoring

Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting

Network Traffic Analysis (NTA)

Anomalous Behavior Detection
High Bandwidth Usage Monitoring
Historical Behavior Data
Identify High Network Traffic Sources
Network Transaction Visibility
Stream Data to IDR or Data Lake
Traffic Decryption

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Alternatives

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